Title :
Bootstrapping opportunistic networks using social roles
Author :
Bigwood, Greg ; Henderson, Tristan
Author_Institution :
Sch. of Comput. Sci., Univ. of St. Andrews, St. Andrews, UK
Abstract :
Opportunistic routing protocols can enable message delivery in disconnected networks of mobile devices. To conserve energy in mobile environments, such routing protocols must minimise unnecessary message-forwarding. This paper presents an opportunistic routing protocol that leverages social role information. We compute node roles from a social network graph to identify nodes with similar contact relationships, and use these roles to determine routing decisions. By using pre-existing social network information, such as online social network friends, to determine roles, we show that our protocol can bootstrap a new opportunistic network without the delay incurred by encounter-history-based routing protocols such as SimbetTS. Simulations with four real-world datasets show improved performance over SimbetTS, with performance approaching Epidemic routing in some scenarios.
Keywords :
mobile computing; routing protocols; social networking (online); SimbetTS; bootstrapping opportunistic networks; disconnected networks; encounter-history-based routing protocols; epidemic routing; message delivery; message forwarding minimization; mobile devices; online social network friends; opportunistic routing protocols; social network graph; social roles; Batteries; Communities; History; Routing; Routing protocols; Social network services;
Conference_Titel :
World of Wireless, Mobile and Multimedia Networks (WoWMoM), 2011 IEEE International Symposium on a
Conference_Location :
Lucca
Print_ISBN :
978-1-4577-0352-2
Electronic_ISBN :
978-1-4577-0350-8
DOI :
10.1109/WoWMoM.2011.5986139